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Inception releases Mercury 3 diffusion LLM at 1,068 tokens per second

Original title: Inception Releases Mercury 3 Diffusion LLM at 1,068 Tokens per Second

MarkTechPostby Jean-marc Mommessin ()14 min read1 · 1 read
Part of a story covered by 2 sourcesInception releases Mercury 3 diffusion model at 1,068 tokens/secMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

The page body is a cookie banner, so only the stated generation speed is available, not architecture or availability.

MarkTechPost's headline says Inception released Mercury 3, a diffusion language model, and cites a generation rate of 1,068 tokens per second. The fetched page contains only a cookie-consent notice, so no model size, benchmark, license, or availability details are in the text.

Unconfirmed: The token rate is stated only in the headline; the article body was not available.

Key facts
  • The headline names Inception and Mercury 3.
  • The stated rate is 1,068 tokens per second.
  • No architecture, weights, or release terms appear in the captured page.
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From the original article

14 min read at marktechpost.com

Inception released Mercury 3, a diffusion LLM it says runs at 1,068 tokens per second with a 1M-token context. On Inception’s own table it leads GPT-6 Luna and Claude Haiku 5. 5 on 8 of 12 benchmarks.

MarkTechPost

By Jean-marc Mommessin · marktechpost.com

Read the full article at MarkTechPost

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.